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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 期刊論文 >  A Study of Applying the Bounded Generalized Pareto Function to the Analysis of Software Fault Distribution

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/82443

    Title: A Study of Applying the Bounded Generalized Pareto Function to the Analysis of Software Fault Distribution
    Authors: C. S. Kuo;C. Y. Huang
    教師: 黃慶育
    Date: 2010
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Proceedings of the 2010 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2010), Macau, China, 7-10 Dec. 2010, pp. 611-615
    Keywords: Empirical research
    Fault distribution
    Pareto principle
    Software reliability
    Abstract: Software is currently a key part of many safety-critical applications. But the main problem facing the computer industry is how to develop a software with (ultra) high reliability on time, and assure the quality of software. In the past, some researchers reported that the Pareto distribution (PD) and the Weibull distribution (WD) models can be used for software reliability estimation and fault distribution modeling. In this paper we propose a modified PD model to predict and assess the software fault distribution. That is, we suggest using a special form of the Generalized Pareto distribution (GPD) model, named the bounded Generalized Pareto distribution (BGPD) model. We will show that the BGPD model eliminates several modeling issues that arise in the PD model, and perform detailed comparisons based on real software fault data. Experimental result shows that the proposed BGPD model presents very high fitness to the actual fault data. In the end, we conclude that the distribution of faults in a large software system can be well described by the Pareto principle.
    Relation Link: http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/82443
    Appears in Collections:[資訊工程學系] 期刊論文
    [資訊系統與應用研究所] 會議論文

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